Summary
Yi Chen is a Machine Learning Engineer with 8 years of experience building production ML systems that blend computer vision, NLP, and large-scale data engineering. He has launched multiple vision-based cashier-auditing models and BERT/Transformer NLP pipelines that achieve high precision with minimal annotation, and led real-time reporting and data pipelines that cut diagnostic wait times by 20%. Yi built a neural-network nearest-neighbor search framework (N4Matcher) showcased on image matching using AWS, Spark, and serverless components, demonstrating an emphasis on scalable, cost-aware architectures. Comfortable across the stack—from model development to deployment and monitoring—he combines a solid math/statistics background with practical product focus. Based in Pleasanton, CA, he brings a track record of turning complex analytics into measurable business impact for retail and healthcare.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Econometrics and Quantitative Economics, Master's degree, Econometrics and Quantitative Economics at Concordia University
Bachelor's degree, Electrical and Electronics Engineering, Bachelor's degree, Electrical and Electronics Engineering at Xi'an Jiaotong University